Five AI Governance & Security Capabilities Every Organization Should Assess
AI adoption has outpaced governance. Security teams may know that AI is being used, but often struggle to answer more fundamental questions: What interactions are taking place? Which actions create risk? Are policies being enforced? Can controls be demonstrated when leadership, customers, auditors, or regulators ask for evidence?
These challenges are no longer limited to a handful of approved AI applications. AI capabilities are increasingly embedded throughout enterprise software, operating systems, browsers, business workflows, custom applications, and autonomous agents, making governance and security significantly more complex than traditional application security programs.
The appropriate level of AI governance and security readiness depends on how AI is used within the organization, the sensitivity of the information involved, and the degree of autonomy granted to AI systems and agents.
This assessment provides a practical framework for evaluating your organization's current readiness and identifying the capabilities needed to support AI adoption with confidence.
Score each capability using the following scale:
Progression through the maturity model is determined by both your overall score and your ability to demonstrate foundational capabilities in each preceding domain.
Position relative to enterprise industry peer standards